[HTML][HTML] Artificial intelligence in gastroenterology: A state-of-the-art review
PT Kröner, MML Engels, BS Glicksberg… - World journal of …, 2021 - ncbi.nlm.nih.gov
The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …
with clinical applications progressively being explored for most of the medical specialties …
Artificial intelligence‐based computer vision in surgery: Recent advances and future perspectives
D Kitaguchi, N Takeshita… - Annals of …, 2022 - Wiley Online Library
Technology has advanced surgery, especially minimally invasive surgery (MIS), including
laparoscopic surgery and robotic surgery. It has led to an increase in the number of …
laparoscopic surgery and robotic surgery. It has led to an increase in the number of …
[HTML][HTML] On evaluation metrics for medical applications of artificial intelligence
Clinicians and software developers need to understand how proposed machine learning
(ML) models could improve patient care. No single metric captures all the desirable …
(ML) models could improve patient care. No single metric captures all the desirable …
An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets
Colorectal cancer (CRC) is one of the common types of cancer with a high mortality rate.
Colonoscopy is the gold standard for CRC screening and significantly reduces CRC …
Colonoscopy is the gold standard for CRC screening and significantly reduces CRC …
[HTML][HTML] Video polyp segmentation: A deep learning perspective
We present the first comprehensive video polyp segmentation (VPS) study in the deep
learning era. Over the years, developments in VPS are not moving forward with ease due to …
learning era. Over the years, developments in VPS are not moving forward with ease due to …
Autosam: Adapting sam to medical images by overloading the prompt encoder
The recently introduced Segment Anything Model (SAM) combines a clever architecture and
large quantities of training data to obtain remarkable image segmentation capabilities …
large quantities of training data to obtain remarkable image segmentation capabilities …
[HTML][HTML] Diagnostic accuracy of artificial intelligence and computer-aided diagnosis for the detection and characterization of colorectal polyps: systematic review and …
S Nazarian, B Glover, H Ashrafian, A Darzi… - Journal of medical …, 2021 - jmir.org
Background Colonoscopy reduces the incidence of colorectal cancer (CRC) by allowing
detection and resection of neoplastic polyps. Evidence shows that many small polyps are …
detection and resection of neoplastic polyps. Evidence shows that many small polyps are …
Artificial intelligence in endoscopy
Y Okagawa, S Abe, M Yamada, I Oda… - Digestive Diseases and …, 2022 - Springer
Artificial intelligence (AI) is rapidly developing in various medical fields, and there is an
increase in research performed in the field of gastrointestinal (GI) endoscopy. In particular …
increase in research performed in the field of gastrointestinal (GI) endoscopy. In particular …
A survey on cancer detection via convolutional neural networks: Current challenges and future directions
Cancer is a condition in which abnormal cells uncontrollably split and damage the body
tissues. Hence, detecting cancer at an early stage is highly essential. Currently, medical …
tissues. Hence, detecting cancer at an early stage is highly essential. Currently, medical …
[HTML][HTML] Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
Polyps are well-known cancer precursors identified by colonoscopy. However, variability in
their size, appearance, and location makes the detection of polyps challenging. Moreover …
their size, appearance, and location makes the detection of polyps challenging. Moreover …